Triple

T4365021
Position Surface form Disambiguated ID Type / Status
Subject Corse-du-Sud E98749 entity
Predicate contains P35 FINISHED
Object Propriano E93040 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Propriano | Statement: [Corse-du-Sud, contains, Propriano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Propriano
Context triple: [Corse-du-Sud, contains, Propriano]
  • A. Propriano chosen
    Propriano is a coastal town and popular seaside resort on the southwest coast of the French island of Corsica, known for its marina, beaches, and scenic Gulf of Valinco setting.
  • B. Limeni
    Limeni is a picturesque coastal village in Greece’s Mani Peninsula, known for its stone-built houses, clear turquoise waters, and traditional fishing heritage.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Sioule
    The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351fea3e88190807b99868982c491 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc925d881909fac944bc7ce5407 completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.